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ADVANCED ROLE OF MACHINE LEARNING IN DATA SCIENCE ANALYSIS OF CURRENT TRENDS AND FUTURE IMPLICATIONS

  • Unique Paper ID: 167979
  • Volume: 11
  • Issue: 4
  • PageNo: 905-910
  • Abstract:
  • The machine learning empowers data science to reduce human efforts and most valuable asset for business needs through pattern recognition, prediction, analysis and efforts. One notable aspect is the meticulous examination of extensive data sets, enabling the generation of valuable forecasts that may inform improved decision-making and prompt intelligent actions in real-time without the need for human involvement. With the development of economic globalization the rapid development of industries in various fields, big data technology has attracted more and more attention. Network data is constantly being generated at an unprecedented rate and it is necessary to intelligently process huge data, and then to make full use of the value in the data, you need to use machine learning method. The growing role of data science (DS) and machine learning (ML) in high-energy physics (HEP) is well established and pertinent given the complex detectors, large data, sets and sophisticated analyses. It was recommended that more research is conducted on the impact of ML on society, stronger regulations and laws to protect the privacy and rights of individuals when it comes to ML should be developed, transparency and accountability in ML decision-making processes should be increased, and public education and awareness about ML should be enhanced. In this paper a detailed overview of different structures of Data Science and address the impact of machine learning on steps such as Data Collection, Data Preparation, Training the model.
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Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 4
  • PageNo: 905-910

ADVANCED ROLE OF MACHINE LEARNING IN DATA SCIENCE ANALYSIS OF CURRENT TRENDS AND FUTURE IMPLICATIONS

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Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

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